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Databricks Inc.

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1,369 reviews
  • 1 profiles
  • 16 categories
Average star rating
4.6
#1 in 26 categories
Grid® leader
Serving customers since
2013
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Databricks Inc. Reviews

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Profile Name
Star Rating
1083
269
13
1
3
SG
Sakshi G.
09/22/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Great for Data Orchestration, Needs UI Improvements

I value the infrastructure abstraction in Databricks because it removes the complexity of creating clusters. I really appreciate the ability to use declarative modeling, which incorporates quality checks and expectations, and I love combining it with a modern workflow for writing transformations in pure SQL and versioning them with Git. Additionally, Databricks eliminates long-term data corruption issues by providing ACID transactions, which resolves storage reliability problems.
JL
Jefferson L.
09/22/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Excellent Interface for Real-Time Collaboration and Data Visualization

I like how the platform allows me to integrate different data sources and collaborate with colleagues in real time. It also has an excellent interface that streamlines my work and helps me quickly visualize trends and correlations in the data. Overall, I really appreciate these features and genuinely enjoy using it.
Christopher H.
CH
Christopher H.
Data Engineer at ClipClaps
09/15/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Smooth Data Handling with Stellar Support

I like the web-based interface of Databricks; it's very intuitive and impresses me every time I use it. Another aspect worth highlighting is the support team, which responds quickly and clarifies any questions. We have a good workflow from data cleaning to model creation, and everything runs smoothly.

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HQ Location:
San Francisco, CA

Social

@databricks

What is Databricks Inc.?

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle.

Details

Year Founded
2013
Website
databricks.com